Explore our curated collection of learning materials, tools, and references to accelerate your AI journey.
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9 resources found
Beginner • 4 hours
A comprehensive tutorial on setting up and using TensorFlow for your first machine learning model.
Intermediate • 6 hours
Step-by-step guide to creating and training a neural network for image classification tasks.
All Levels • Library
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
All Levels • Library
State-of-the-art Natural Language Processing for PyTorch and TensorFlow 2.0.
Beginner • 70,000 Images
A large database of handwritten digits commonly used for training various image processing systems.
Advanced • 2017
The groundbreaking paper that introduced the Transformer architecture, revolutionizing NLP tasks.
Intermediate • 3 months
A series of courses designed to help you master Deep Learning, understand how to build neural networks, and lead AI projects.
Beginner • 6 weeks
Learn the fundamentals of machine learning algorithms, data preparation, and model evaluation.
Intermediate • 14M Images
A large visual database designed for use in visual object recognition research.
Quick reference guides to help you remember key concepts and algorithms.
A comprehensive guide to the most common machine learning algorithms, their use cases, and implementation details.
Download PDFVisual guide to different neural network architectures including CNNs, RNNs, GANs, and Transformers.
Download PDFEssential Python libraries and functions for data manipulation, visualization, and analysis.
Download PDFFind answers to common questions about our resources and learning materials.
Combine our resources with our structured learning tracks for a comprehensive AI education experience.